PWe are looking for a Data Scientist to join our growing Machine Learning Craft at Mollie. Our Craft is set up as a central entity that provides ML and GenAI capabilities across Mollie. We primarily develop predictive ML models that provide decision intelligence to our colleagues in various Domains such as Monitoring, Payments, Financial Services, Merchant Experience GTM. We also maintain a cloud-based ML Platform, which we use for both model development and deployment. /ppIn this role, you will be focused on developing ML models for the GTM Optimization Domain. You will use machine learning to power Mollie’s efforts in lead sourcing and lead scoring, in order to identify relevant companies and data points online, ensuring Mollie has the most comprehensive database of ideal customer profile leads. These leads will be enriched with relevant data points and prioritized using predictive machine learning algorithms. /ppThis is a hands-on role, where you will spend most of your time developing in Python together with our team of DSs and MLEs. You will also be interfacing directly with subject matter experts and stakeholders, e.g. to evaluate the feasibility of potential DS use cases or to explain how your model works during a Team Review. /ppThis role can be based at either Mollie’s Milan Hub or Lisbon Hub. You will be part of a geographically-distributed team (Amsterdam/Lisbon/Milan) that is comfortable collaborating virtually hybrid. /ph3What you’ll be doing /h3olliDevelop and maintain ML models for a range of use cases in the GTM Optimization Domain at Mollie. Ensure these models smoothly reach production and bring measurable value to our stakeholders. /liliPerform efficient exploratory data analysis (EDA) and present key insights to colleagues stakeholders. /liliAdopt best practices and standards for the development of robust ML models. /liliCollaborate closely with MLEs to prepare your code model for production using our ML Platform. /liliContribute regularly to our bi-weekly DS Community of Practice (knowledge sharing sessions). /liliUnderstand the commercial objectives of the problem space and use cases, in order to evaluate the feasibility of new use cases for ML in the GTM Optimization Domain. /li /olh3What you'll bring /h3olli1-3 years experience in data science and machine learning, including the development of models that successfully went to production. /liliYou are an expert in using applied ML on structured data, in particular regression and classification problems using boosted decision tree (BDT) algorithms. /liliYou have basic experience with Generative AI, both large language models (LLMs) and embedding models, especially leveraging GenAI in non-chat applications. /liliYou approach complex problems in a structured way, always looking for the simplest, pragmatic solutions. /liliYou understand the technical and non-technical constraints of a business problem. /liliYou are detail-oriented but can also quickly shift priorities if required. /liliYou enjoy working collaboratively in a cross-functional distributed team environment. /liliYou have great presentation skills and can communicate to a wide variety of audiences. /liliYou have a strong foundation in statistics. /liliYou have solid software engineering skills and love coding in Python. /liliYou know your way around a linux shell and are comfortable with Git for version control. /liliYou know the scikit-learn API inside and out. /liliYou are comfortable in an agile Way of Working, with Scrum or similar frameworks. /li /olh3Nice to have /h3olliExperience with Google Cloud Platform Vertex AI or similar (e.g. SageMaker). /liliExperience in the financial services industry (banking or fintech). /liliFamiliarity with DevOps MLOps principles. /liliM.Sc. or Ph.D. in Machine Learning, Computer Science, Physics, or similar. /li /olh3Benefits /h3olliBirthday off /lili22 holiday days /liliHealth insurance /li /olh3How we hire /h3olliStep 1: Apply - Our Talent Acquisition team and hiring manager will review your application, and respond within 2 weeks. /liliStep 2: Screening call - If you seem like a Mollie-in-the-making, we’ll invite you to a screening call so we can learn more about each other. /liliStep 3: Are you the one? - You'll have two or more interviews. And if it's a highly technical role, we'll also assess the specific skills you'll need. /li /olh3Diversity, Equity Inclusion /h3pAt Mollie we are as diverse as we are united. That means we bring open hearts and minds to work, and nurture a culture that feels like home. We celebrate diversity of people and perspectives and are proud to be an equal opportunity employer. /ppEvery new Mollie is hired on the basis of qualifications, merit, and business need. We do not discriminate. We value our differences because we know that our individual perspectives make our products and culture stronger. So we encourage everyone to be their authentic selves and we prioritise respect. /ppAt the end of the day, we are a team of individuals – diverse yet united by our vision to eliminate financial bureaucracy. /p #J-18808-Ljbffr